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学者姓名：郭谋发
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Abstract ：
Fault localization is crucial for ensuring stability, particularly in high impedance faults (HIF) characterized by low current levels and prolonged transient processes (TP). Existing methods predominantly analyze differences in the fixed-length transient waveform, potentially causing delays in triggering or failure in HIF scenarios. To address these challenges, a novel AI application paradigm for HIF localization was introduced, incorporating both adaptive TP calibration and multiscale correlation analysis. Based on 1D-Unet, the TP of the zero-sequence voltage (ZSV) can be adaptively calibrated to maximize the utilization of transient information. Subsequently, the differential zero-sequence voltage (DZSV) and transient zero-sequence current (TZSC) can be acquired to facilitate multiscale correlation analysis. Combined with a sliding window strategy, the micro correlation between DZSV and TZSC is articulated through the local correlation degree (LCD). The comprehensive correlation degree (CCD) between DZSV and TZSC is then formulated to realize fault feeder/ section localization at the macro level. The 1D-Unet model achieved a classification accuracy of 99.2 % for sample points in test datasets and showed robustness with an accuracy exceeding 93.5 % in the presence of 20 dB noise interference. When integrated with the well-trained 1D-Unet, the proposed approach underwent further validation using simulation data and field recordings. These tests confirmed the model's resilience to noise interference up to 20 dB and its efficacy across networks of diverse topologies, such as the IEEE-13 and 34-node distribution networks. Additionally, an industrial prototype applying this framework identified all fault conditions without false positives or omissions, outperforming existing methods under various fault scenarios, including those involving high impedance materials and different resistance levels across multiple feeders.
Keyword ：
Active distribution networks Active distribution networks Adaptive transient process calibration Adaptive transient process calibration Fault localization Fault localization High impedance fault High impedance fault Multiscale correlation analysis Multiscale correlation analysis
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| GB/T 7714 | Gao, Jian-Hong , Guo, Mou -Fa , Lin, Shuyue et al. Advancing high impedance fault localization via adaptive transient process calibration and multiscale correlation analysis in active distribution networks [J]. | MEASUREMENT , 2024 , 229 . |
| MLA | Gao, Jian-Hong et al. "Advancing high impedance fault localization via adaptive transient process calibration and multiscale correlation analysis in active distribution networks" . | MEASUREMENT 229 (2024) . |
| APA | Gao, Jian-Hong , Guo, Mou -Fa , Lin, Shuyue , Chen, Duan -Yu . Advancing high impedance fault localization via adaptive transient process calibration and multiscale correlation analysis in active distribution networks . | MEASUREMENT , 2024 , 229 . |
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To address the existing issue of electric shock incidents that cannot be accurately identified by current leakage protection devices, this paper presents a novel electric shock accident recognition method. Firstly, the method of singular spectrum analysis (SSA) is employed to extract the main components of leakage recording data. Subsequently, 20 temporal domain features of the leakage current waveform are extracted. Then, an ensemble learning model based on extreme gradient boosting (XGBoost), categorical boosting (CatBoost) and random forest (RF), is established to select optimal features that best represent the sample characteristics from the feature set. Finally, support vector machine (SVM) is used to classify the extracted dataset. Experimental results demonstrate that this method can rapidly differentiate between electric shock faults and common leakage faults, achieving an accuracy rate as high as 99%, indicating its feasibility. © 2024 IEEE.
Keyword ：
electric shock faults identification electric shock faults identification feature selection feature selection leakage protection device leakage protection device singular spectrum analysis (SSA) singular spectrum analysis (SSA)
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| GB/T 7714 | Chen, Y.-L. , Gao, W. , Rao, J.-M. et al. Electric Shock Accident Detection Method Based on Ensemble Decision Trees Boosting for Feature Selection [未知]. |
| MLA | Chen, Y.-L. et al. "Electric Shock Accident Detection Method Based on Ensemble Decision Trees Boosting for Feature Selection" [未知]. |
| APA | Chen, Y.-L. , Gao, W. , Rao, J.-M. , Guo, M.-F. , Zheng, Z.-Y. . Electric Shock Accident Detection Method Based on Ensemble Decision Trees Boosting for Feature Selection [未知]. |
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The complicated operating conditions of distribution networks may be prone to single-phase grounding (SPG) fault. Based on statistics, SPG faults account for more than 80% of all fault types in the distribution networks. Arc suppression coil can typically compensate for most of the capacitive fault current but cannot eliminate the fault voltage, and the residual fault current, including the active current, is still high. To limit fault current completely and eliminate voltage simultaneously, a cascaded grid-connected converter (CGCC) coupled with an arc suppression coil is presented in this paper. However, with the increase of nonlinear loads, the transmission lines contain a large amount of harmonic current. Thus, the CGCC is proposed to compensate the harmonic current simultaneously by controlling its d-axis and q-axis output components, and to control the 0-axis output component for arc suppression, and the controls of harmonic compensation and arc suppression are decoupled, so that the utilization and cost-effectiveness are improved. © 2024 IEEE.
Keyword ：
Arc suppression coil Arc suppression coil flexible arc suppression flexible arc suppression harmonic compensation harmonic compensation single-phase ground fault single-phase ground fault
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| GB/T 7714 | Ke, Q.-X. , Zhang, B.-L. , Zheng, Z.-Y. et al. Cascaded Grid-Connected Converter Coupled with Peterson Coil for Harmonic Compensation and Arc Suppression in Distribution Networks [未知]. |
| MLA | Ke, Q.-X. et al. "Cascaded Grid-Connected Converter Coupled with Peterson Coil for Harmonic Compensation and Arc Suppression in Distribution Networks" [未知]. |
| APA | Ke, Q.-X. , Zhang, B.-L. , Zheng, Z.-Y. , Guo, M.-F. . Cascaded Grid-Connected Converter Coupled with Peterson Coil for Harmonic Compensation and Arc Suppression in Distribution Networks [未知]. |
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针对现有的剩余电流保护装置无法有效识别触电事故的问题，该文提出了一种不均衡小样本下多特征优化选择的生命体触电故障识别方法。首先通过变分自编码器（VAE）对实验收集到的生命体触电小样本数据进行增殖以实现正负样本均衡；然后在时域上提取能够反映波形动态变化特性的23个特征量，并利用高斯核Fisher判别分析（GKFDA）与最大信息系数（MIC）法从中选择最优表达特征组；最后，提出基于遗忘因子的在线顺序极限学习机（FOS-ELM）算法实现生命体触电行为的鉴别。实验结果表明，所提方法利用不均衡小样本触电数据集就可以训练出一个优秀的分类模型，诊断准确率可达98.75%，诊断时间仅为1.33ms。其优良的性能结合在线增量式学习分类器设计，使得模型具备新知识学习能力，具有极好的工程应用前景。
Keyword ：
不均衡小样本 不均衡小样本 剩余电流保护装置 剩余电流保护装置 基于遗忘因子的在线顺序极限学习机(FOS-ELM) 基于遗忘因子的在线顺序极限学习机(FOS-ELM) 多特征优化选择 多特征优化选择 生命体触电故障 生命体触电故障
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| GB/T 7714 | 高伟 , 饶俊民 , 全圣鑫 et al. 不均衡小样本下多特征优化选择的生命体触电故障识别方法 [J]. | 电工技术学报 , 2024 , 39 (07) : 2060-2071 . |
| MLA | 高伟 et al. "不均衡小样本下多特征优化选择的生命体触电故障识别方法" . | 电工技术学报 39 . 07 (2024) : 2060-2071 . |
| APA | 高伟 , 饶俊民 , 全圣鑫 , 郭谋发 . 不均衡小样本下多特征优化选择的生命体触电故障识别方法 . | 电工技术学报 , 2024 , 39 (07) , 2060-2071 . |
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为了加强配电网自动化技术课程建设，提出基于虚实协同配合的实验教学方案。以“情景互动、探究创新”为实验教学理念，将课堂理论、虚拟仿真和物理仿真三者紧密结合。从需求导向出发，设计了四个渐进式实验，通过沉浸式教学，让学生了解配电网和开关设备的结构形态，掌握配电网运行、故障与保护算法的原理，培养学生的创新思维和创新设计能力。最后，建立主、客观评价相结合的综合评价体系，对学生参与实验的每个环节进行评价，通过收集反馈信息，持续改进评价体系。
Keyword ：
实验教学 实验教学 物理仿真 物理仿真 虚拟仿真 虚拟仿真 配电网 配电网
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| GB/T 7714 | 林宝全 , 高伟 , 郭谋发 et al. 虚实协同的“配电网自动化技术”实验项目建设 [J]. | 电气电子教学学报 , 2024 , 46 (02) : 216-220 . |
| MLA | 林宝全 et al. "虚实协同的“配电网自动化技术”实验项目建设" . | 电气电子教学学报 46 . 02 (2024) : 216-220 . |
| APA | 林宝全 , 高伟 , 郭谋发 , 谢楠 . 虚实协同的“配电网自动化技术”实验项目建设 . | 电气电子教学学报 , 2024 , 46 (02) , 216-220 . |
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提出采用两台级联H桥变流器(cascadedH-bridge converter,CHBC)柔性调控配电网零序无功电流，实现覆冰线路不停电在线融冰。两台CHBC分别串接在覆冰线路首端和末端的接地变压器。通过末端CHBC在绝缘允许范围内调控配电网零序电压，产生的零序对地电容电流作为融冰电流流过三相覆冰导线，实现较单相接地短路电流融冰更佳的效果。通过首端CHBC调控配电网对地电容电流，实现融冰电流大小的任意调节。所提方法无需做单相接地短路，能够精准调控融冰电流，实现三相线路同时融冰。CHBC与配电网仅存在无功交互，节省了直流稳压电源容量，且功率交互之和为零，不影响配电网正常供电电压，全网负荷无需停电。仿真和实验结果验证了所提方法及控制方案的可行性和有效性。
Keyword ：
三相覆冰线路 三相覆冰线路 不停电在线融冰 不停电在线融冰 柔性调控 柔性调控 级联H桥变流器 级联H桥变流器 配电网 配电网 零序无功电流 零序无功电流
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| GB/T 7714 | 张彬隆 , 郑泽胤 , 郭谋发 . 基于零序无功电流柔性调控的配电网覆冰线路不停电在线融冰方法 [J]. | 电网技术 , 2024 , 48 (02) : 913-928 . |
| MLA | 张彬隆 et al. "基于零序无功电流柔性调控的配电网覆冰线路不停电在线融冰方法" . | 电网技术 48 . 02 (2024) : 913-928 . |
| APA | 张彬隆 , 郑泽胤 , 郭谋发 . 基于零序无功电流柔性调控的配电网覆冰线路不停电在线融冰方法 . | 电网技术 , 2024 , 48 (02) , 913-928 . |
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针对配电网中发生高阻接地故障(high impedance fault, HIF)进行特征提取时，人为构造的特征量或特征向量难以充分体现高阻接地故障区别于其他事件的特征问题，提出一种波形隐含特征提取方法.通过连续小波变换将零序电流转换为时频谱图，并分割为正方形切片，然后使用卷积神经网络辨识高阻接地故障特有的“齿”形特征.结果表明：文中所提方法能由波形中的高频分量得到可视化的时频谱图，省去了人为构造的特征量的步骤，避免了特征量难以准确表征HIF特征的问题，其可靠性在仿真及现场样本测试中得到了验证.
Keyword ：
卷积神经网络 卷积神经网络 图像分割 图像分割 时频谱图 时频谱图 深度学习 深度学习 配电网 配电网 高阻接地故障 高阻接地故障
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| GB/T 7714 | 庄文睿 , 郭谋发 . 基于时频谱图的配电网高阻接地故障智能识别方法 [J]. | 福州大学学报(自然科学版) , 2024 , 52 (01) : 53-60 . |
| MLA | 庄文睿 et al. "基于时频谱图的配电网高阻接地故障智能识别方法" . | 福州大学学报(自然科学版) 52 . 01 (2024) : 53-60 . |
| APA | 庄文睿 , 郭谋发 . 基于时频谱图的配电网高阻接地故障智能识别方法 . | 福州大学学报(自然科学版) , 2024 , 52 (01) , 53-60 . |
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Detecting high-impedance faults (HIFs) in distribution networks poses a significant challenge for conventional relay devices due to low fault currents and various characteristics such as weaker fault features, distortion offset, and background noise interference. This article introduces a novel and streamlined method for HIF detection, which ingeniously integrates frequency-band energy curve (FBEC) analysis and Gaussian smoothing to extract trend changes, thus enhancing the precision and effectiveness of HIF detection. The proposed method utilizes continuous wavelet transform (CWT) to extract the time-frequency spectrum from the zero-sequence current. By analyzing the feature-band energy, the FBEC is computed. To mitigate noise interference and enhance the periodic change pattern, a Gaussian filter is applied for smoothing. Distinguishing between HIF and normal operations, including low impedance fault (LIF), capacitor switching (CS), inrush current (IC), and ferromagnetic resonance (FR), is achieved by analyzing the peak points of FBEC. The proposed method's performance was extensively validated through simulations and field data. The performance of the proposed method was extensively validated through a series of simulations and detailed analysis of real-world field data. The results demonstrated an excellent detection performance on field data, with an impressive accuracy rate of 86.5% and an F-1 -score of 0.87. Moreover, we examined the method's resilience against noise using data with a signal-to-noise ratio (SNR) of 20 dB, resulting in a detection accuracy of 77.3% and an F-1 -score of 0.79. These findings underscore the method's clear physical meaning, strong interpretability, and versatility, establishing its effectiveness and practicality for real-world applications.
Keyword ：
Continuous wavelet transform (CWT) Continuous wavelet transform (CWT) distribution network distribution network Gaussian smoothing Gaussian smoothing high-impedance fault (HIF) high-impedance fault (HIF)
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| GB/T 7714 | Bai, Hao , Gao, Jian-Hong , Li, Wei et al. Detection of High-Impedance Fault in Distribution Networks Using Frequency-Band Energy Curve [J]. | IEEE SENSORS JOURNAL , 2024 , 24 (1) : 427-436 . |
| MLA | Bai, Hao et al. "Detection of High-Impedance Fault in Distribution Networks Using Frequency-Band Energy Curve" . | IEEE SENSORS JOURNAL 24 . 1 (2024) : 427-436 . |
| APA | Bai, Hao , Gao, Jian-Hong , Li, Wei , Wang, Kang , Guo, Mou-Fa . Detection of High-Impedance Fault in Distribution Networks Using Frequency-Band Energy Curve . | IEEE SENSORS JOURNAL , 2024 , 24 (1) , 427-436 . |
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Accurate modeling of high-impedance arc fault (HIAF) is of great significance for studying the characteristics of arc fault and suppressing its harm. In traditional arc models, the arc column is usually considered a cylindrical channel with constant length and diameter. However, the arc-burning process is susceptible to the environment. The changes in arc length and diameter present complex characteristics. Therefore, this study proposes a new HIAF model for distribution networks based on the arc's dynamic geometry dimension (DGD). First, the arc length, diameter, and field strength expressions are improved based on the classical cybernetic model. Next, an automatic parameter optimization method for the DGD model is proposed, and then this model is compared with existing advanced models. After that, the effects of the variable parameters of this model on arc characteristics are analyzed. Finally, the practical application effect of this model is tested. The experimental results show that the DGD model can accurately describe the dynamic arc development process, approximate the given arc waveform closely, and generate high-quality samples, which has certain advantages.
Keyword ：
Arc model Arc model Distribution network Distribution network Geometry size Geometry size High-impedance arc fault High-impedance arc fault Model parameter determination Model parameter determination
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| GB/T 7714 | Gao, Wei , He, Wen-Xiu , Wai, Rong-Jong et al. High-impedance arc fault modeling for distribution networks based on dynamic geometry dimension [J]. | ELECTRIC POWER SYSTEMS RESEARCH , 2024 , 229 . |
| MLA | Gao, Wei et al. "High-impedance arc fault modeling for distribution networks based on dynamic geometry dimension" . | ELECTRIC POWER SYSTEMS RESEARCH 229 (2024) . |
| APA | Gao, Wei , He, Wen-Xiu , Wai, Rong-Jong , Zeng, Xiao-Feng , Guo, Mou-Fa . High-impedance arc fault modeling for distribution networks based on dynamic geometry dimension . | ELECTRIC POWER SYSTEMS RESEARCH , 2024 , 229 . |
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针对现有配电网单相接地故障选段方法存在的通信负担重、阈值设置困难及故障特征量单一等问题,提出一种基于多频带多特征融合的配电网单相接地故障选段方法.首先,利用小波包变换分别对故障后首半个工频周期的零序电压导数和零序电流进行分解和重构,得到原始波形的不同频带分量.其次,根据不同频带分量间的极性关系分别引入伏安特性特征向量与零序功率累加和作为故障特征.最后,筛选特征频带并构造基于特征频带与故障特征融合的选段判据.仿真实验及现场数据验证结果表明,所提方法能够有效实现单相接地故障免阈值就地选段.
Keyword ：
免阈值 免阈值 单相接地故障 单相接地故障 多频带多特征融合 多频带多特征融合 小波包变换 小波包变换 故障选段 故障选段 谐振接地系统 谐振接地系统
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| GB/T 7714 | 肖文妍 , 郭谋发 , 林佳壕 et al. 基于多频带多特征融合的配电网单相接地故障选段方法 [J]. | 电气技术 , 2024 , 25 (7) : 7-14 . |
| MLA | 肖文妍 et al. "基于多频带多特征融合的配电网单相接地故障选段方法" . | 电气技术 25 . 7 (2024) : 7-14 . |
| APA | 肖文妍 , 郭谋发 , 林佳壕 , 林骏捷 . 基于多频带多特征融合的配电网单相接地故障选段方法 . | 电气技术 , 2024 , 25 (7) , 7-14 . |
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